AI Developer Jobs in Texas
AI Developer jobs in Texas are among the most active in the country, concentrated in enterprise software, financial technology, aerospace, and energy analytics, with openings at every level from entry-level ML engineer to senior AI architect. Austin, Dallas, and Houston lead hiring volume, with major employers like Dell Technologies, JPMorgan Chase, and Lockheed Martin maintaining large technical teams across the state. The most in-demand specialties are large language model integration, computer vision, and MLOps engineering. Find a role that fits below and apply directly.
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Showing 5 of 67+ AI Developer jobs
Your opportunity
What you have
- 7+ years of experience in software engineering, platform engineering, DevOps, site reliability engineering, or enterprise architecture, including direct responsibility for modern software delivery practices.
- 5+ years of experience leading architecture or technical strategy for enterprise-scale development and delivery platforms, developer ecosystems, or software development lifecycle toolchains.
- Hands-on software development experience using one or more general-purpose programming languages, with demonstrated ability to read, write, review, and troubleshoot application code, APIs, or delivery automation.
- Demonstrated experience creating and governing architecture artifacts, including reference architectures, integration patterns, standards, guardrails, architecture decision records, and roadmaps used across multiple product or application teams.
- Experience architecting integrations across the software delivery lifecycle, connecting ideation, portfolio or work planning, development, testing, deployment, and platform operations through lifecycle data and shared identifiers.
- Direct experience leading the architecture and integration of developer-facing AI capabilities, such as AI coding assistants, developer agents, or AI-enabled workflows, with implementation or rollout across multiple development teams. Experience defining and
- ing software delivery measures to evaluate flow, quality, reliability, adoption, or business outcomes and inform architecture or platform decisions.
- Demonstrated ability to influence senior leaders and collaborate across product, engineering, platform, architecture, security, risk, finance, or operations without direct reporting authority.
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
- ing business-of-IT data models that connect portfolios, products, applications, services, and costs to support end-to-end delivery measurement and investment decisions.
- Experience architecting model gateways or managed model access for developer tools, including identity and policy controls, usage telemetry, and vendor or model abstraction.
- Experience designing agentic architectures for developer workflows, including tool integration, orchestration, and knowledge or context architecture. Experience
- ing evaluation, observability, quality, safety, governance, and lifecycle practices to developer-facing AI capabilities.
- Experience conducting structured pilots or evaluations and developing adoption plans to compare developer-facing AI tools, models, or integration approaches.
- Experience measuring developer AI adoption and outcomes through indicators of flow, quality, reliability, developer experience, or realized value. Experience
- ing AIFinOps principles to architecture decisions, including usage, consumption, capacity, unit economics, cost attribution, forecasting, optimization, and value realization.
- Experience building or scaling internal developer platforms with self-service workflows, reusable delivery paths, and developer experience measurement.
- Hands-on experience with CI/CD and delivery automation, including pipeline architecture, artifact management, build and test automation, release strategies, and developer platform integration.
What’s in it for you
At Schwab, you’re empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration—so you can build the skills to make a lasting impact. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis.
We offer a competitive benefits package that takes care of the whole you – both today and in the future:
- 401(k) with company match and Employee stock purchase plan
- Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions
- Paid parental leave and family building benefits
- Tuition reimbursement
- Health, dental, and vision insurance
Eligible Schwabbies receive
Medical, dental and vision benefits
401(k) and employee stock purchase plans
Tuition reimbursement to keep developing your career
Paid parental leave and adoption/family building benefits
Sabbatical leave available after five years of employment
Your opportunity
What you have
- 7+ years of experience in software engineering, platform engineering, DevOps, site reliability engineering, or enterprise architecture, including direct responsibility for modern software delivery practices.
- 5+ years of experience leading architecture or technical strategy for enterprise-scale development and delivery platforms, developer ecosystems, or software development lifecycle toolchains.
- Hands-on software development experience using one or more general-purpose programming languages, with demonstrated ability to read, write, review, and troubleshoot application code, APIs, or delivery automation.
- Demonstrated experience creating and governing architecture artifacts, including reference architectures, integration patterns, standards, guardrails, architecture decision records, and roadmaps used across multiple product or application teams.
- Experience architecting integrations across the software delivery lifecycle, connecting ideation, portfolio or work planning, development, testing, deployment, and platform operations through lifecycle data and shared identifiers.
- Direct experience leading the architecture and integration of developer-facing AI capabilities, such as AI coding assistants, developer agents, or AI-enabled workflows, with implementation or rollout across multiple development teams. Experience defining and
- ing software delivery measures to evaluate flow, quality, reliability, adoption, or business outcomes and inform architecture or platform decisions.
- Demonstrated ability to influence senior leaders and collaborate across product, engineering, platform, architecture, security, risk, finance, or operations without direct reporting authority.
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
- ing business-of-IT data models that connect portfolios, products, applications, services, and costs to support end-to-end delivery measurement and investment decisions.
- Experience architecting model gateways or managed model access for developer tools, including identity and policy controls, usage telemetry, and vendor or model abstraction.
- Experience designing agentic architectures for developer workflows, including tool integration, orchestration, and knowledge or context architecture. Experience
- ing evaluation, observability, quality, safety, governance, and lifecycle practices to developer-facing AI capabilities.
- Experience conducting structured pilots or evaluations and developing adoption plans to compare developer-facing AI tools, models, or integration approaches.
- Experience measuring developer AI adoption and outcomes through indicators of flow, quality, reliability, developer experience, or realized value. Experience
- ing AIFinOps principles to architecture decisions, including usage, consumption, capacity, unit economics, cost attribution, forecasting, optimization, and value realization.
- Experience building or scaling internal developer platforms with self-service workflows, reusable delivery paths, and developer experience measurement.
- Hands-on experience with CI/CD and delivery automation, including pipeline architecture, artifact management, build and test automation, release strategies, and developer platform integration.
What’s in it for you
At Schwab, you’re empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration—so you can build the skills to make a lasting impact. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis.
We offer a competitive benefits package that takes care of the whole you – both today and in the future:
- 401(k) with company match and Employee stock purchase plan
- Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions
- Paid parental leave and family building benefits
- Tuition reimbursement
- Health, dental, and vision insurance
Eligible Schwabbies receive
Medical, dental and vision benefits
401(k) and employee stock purchase plans
Tuition reimbursement to keep developing your career
Paid parental leave and adoption/family building benefits
Sabbatical leave available after five years of employment
See All 67 AI Developer Jobs in Texas
Find roles in Texas that match your experience and apply in just a few clicks.
Find AI Developer JobsAI Developer Jobs by City in Texas
Where Texas roles are concentrated, by current openings.
AI Developer Job Market in Texas
A snapshot from current Texas openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Education
- Technology & Software
- E-Commerce & Online Marketplaces
What Texas Employers Look For
The qualifications that appear most often in AI developer jobs across Texas.
- Bachelor's or master's degree in computer science, artificial intelligence, or a related field
- Proficiency in Python and machine learning frameworks such as TensorFlow or PyTorch
- Hands-on experience designing, training, and deploying machine learning or deep learning models
- Familiarity with cloud platforms including AWS, Microsoft Azure, or Google Cloud for model deployment
- Experience with MLOps practices, including model versioning, monitoring, and CI/CD pipelines
- Strong communication skills to collaborate with cross-functional product and engineering teams
AI Developer Jobs in Texas: Frequently Asked Questions
How do you become a ai developer in Texas?
Becoming an ai developer in Texas starts with a bachelor's degree in computer science, data science, or a closely related field, as no state-issued license is required for this role. Most Texas employers expect demonstrated experience with machine learning frameworks and cloud platforms, which candidates build through university programs, bootcamps, or project portfolios. Texas universities including UT Austin and Texas A&M offer graduate AI programs that carry weight with in-state employers.
How much do AI developers make in Texas?
AI developers in Texas earn a median of about $132,150 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $82,600 for the lowest 10% to over $183,680 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire ai developers in Texas?
Employers hiring ai developers in Texas right now include University of Texas at El Paso, EY, and AMD, based on current listings on Migrate Mate as of November 2026. Texas's concentration of energy, financial services, and defense companies means demand is broad, with large enterprise employers and mid-size technology firms both posting consistently.
Which Texas cities have the most ai developer jobs?
Austin, Houston, and San Antonio have the most ai developer openings in Texas. Austin's dense technology sector and startup ecosystem drive the highest concentration of pure AI roles, while Dallas-Fort Worth attracts demand through its financial services and corporate headquarters cluster, and Houston's energy and aerospace industries generate steady need for applied AI and data engineering talent.
Are there remote ai developer jobs in Texas?
Yes, and more than most fields. About 67% of ai developer openings tied to Texas are remote or hybrid as of November 2026, reflecting how fully desk-based this work is by nature. Model development, research, and data pipeline engineering tend to be the most remote-eligible functions, while roles requiring access to proprietary hardware or on-site infrastructure are more likely to require in-office attendance.
How can I get hired as a ai developer in Texas with little or no experience?
The most realistic entry path is an associate or junior machine learning engineer role, which large Texas employers in financial technology and enterprise software fill from new graduates with strong project portfolios. Companies like Dell, AT&T, and Texas Instruments run early-career technical programs that include AI and data engineering tracks. Completing a recognized graduate certificate or contributing to open-source ML projects on GitHub gives candidates a concrete edge when competing against others with limited professional history.
Where can I find and apply to ai developer jobs in Texas?
You can find and apply to ai developer jobs in Texas on Migrate Mate, which lists current Texas openings from employers actively hiring right now. Find the roles that fit your experience and specialization and apply directly through each listing.
See All 67 AI Developer Jobs in Texas
Find roles in Texas that match your experience and apply in just a few clicks.
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